article thumbnail

Why are WMS Sales so Persistent? Here is How I Learned of WMS’ Ongoing Importance

Logistics Viewpoints

For example, “maximize revenues within a theoretical facility that had two constraints.” This was a technical process, applied in a fairly simple fashion to an extremely high-level set of examples. It was a sensible and interesting transition from my knowledge base. What about the data quality?

article thumbnail

Why are WMS Sales so Persistent? Here is How I Learned of WMS’ Ongoing Importance

Logistics Viewpoints

For example, “maximize revenues within a theoretical facility that had two constraints.” This was a technical process, applied in a fairly simple fashion to an extremely high-level set of examples. It was a sensible and interesting transition from my knowledge base. What about the data quality?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Most Overlooked DC Performance Strategy

Logistics Viewpoints

For example, related to warehouse technology, a recent Lucas Systems industry study found 89% of respondents agreed that implementing artificial intelligence-based software within distribution centers can provide a competitive advantage. Does it require manual data entry? Technology can play an important part.

article thumbnail

Cart Before the Horse: Digital Freight Matching, A.I. and Machine Learning for Freight

Parade

In the case of brokerages, it would be impossible for their carrier sales reps to quickly, efficiently and reliably digest and understand all data about 10,000s of carriers. Without solid data collection, these emerging technologies would be impossible. Not very helpful. Not very effective at all.

Digital 68
article thumbnail

How AI Helps Build the Supply Chain that Thinks for Itself

Logistics Bureau

The following are examples. A key example is the expert system. This AI tool is based on data and rules. With more data and greater processing power now available, computers that learn by themselves have become more feasible. Using ML, a computer automatically finds patterns in data. Hard to plan for demand.

article thumbnail

11 Common Maintenance Issues (And a Solution for Each!)

Conger

For example, you can automate many material handling tasks if you have trouble finding forklift operators. For example, you can try experimenting with schedules. After knowing this difference, you need to make sure you have carefully-recorded data, including the year of manufacture and hours of use. Training and improvement.

article thumbnail

Supply Chain Disruption: How Stronger Collaboration Will Have a Big Impact on the Future of Logistics Management

GlobalTranz

Gone are the days of sending written requests or spending hours tracking down a point of contact to acquire the data needed to generate reports or determine when to schedule maintenance, order parts, or perform other relevant tasks. Instead of vendors waiting on hold while employees track down information, data is available within seconds.